{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T09:32:30Z","timestamp":1780047150640,"version":"3.53.1"},"reference-count":123,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T00:00:00Z","timestamp":1774396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Physiol."],"abstract":"<jats:p>Gastrointestinal (GI) functional disorders and chronic inflammatory diseases impose a substantial health burden, yet their assessment remains challenging because symptoms reflect dynamic interactions among motility, visceral sensation, immune\u2013microbiome regulation, and brain\u2013gut signaling. Artificial intelligence (AI) is rapidly reshaping GI functional medicine by enabling scalable, quantitative interpretation of complex data generated from multimodal imaging, physiological sensing, and real-world patient monitoring. This review synthesizes advances across three tightly connected pillars that map onto a physiology-informed \u201cassessment-to-action\u201d loop: (i) AI-assisted multimodal GI imaging for quantitative phenotyping and integrated diagnosis; (ii) AI-enabled discovery and validation of digital biomarkers that capture dynamic GI function in naturalistic settings; and (iii) real-time monitoring platforms that support early warning, longitudinal assessment, and adaptive management. We summarize representative applications in functional GI disorders, inflammatory bowel disease (IBD), and GI oncology, highlighting methodological themes including multimodal fusion, temporal modeling, uncertainty estimation, and explainable AI. We then discuss barriers to translation\u2014standardization and interoperability, external validation under dataset shift, privacy and governance, and workflow integration\u2014and outline practical directions for building clinically trustworthy AI systems for GI functional assessment. Collectively, physiology-centered AI approaches have the potential to transform GI care from episodic testing to longitudinal, mechanism-aware monitoring and personalized intervention.<\/jats:p>","DOI":"10.3389\/fphys.2026.1778235","type":"journal-article","created":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:30:37Z","timestamp":1774416637000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Artificial intelligence-driven gastrointestinal functional assessment: multimodal imaging, digital biomarkers, and real-time monitoring"],"prefix":"10.3389","volume":"17","author":[{"given":"Liucheng","family":"Li","sequence":"first","affiliation":[{"name":"Dermatology, YunNan Provincial Hospital of Traditional Chinese Medicine","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Lv","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, The First People\u2019s Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chen","family":"Du","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary Pancreatic and Vascular Surgery, The First People\u2019s Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lianjun","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary Pancreatic and Vascular Surgery, The First People\u2019s Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengzhou","family":"Pa","sequence":"additional","affiliation":[{"name":"Department of Hepatobiliary Pancreatic and Vascular Surgery, The First People\u2019s Hospital of Kunming, The Affiliated Calmette Hospital of Kunming Medical University","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yunrui","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Magnetic Resonance Imaging, First People\u2019s Hospital of Yunnan Province\/Affiliated Hospital of Kunming University of Science and Technology","place":["Kunming, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2026,3,25]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"1207","DOI":"10.3390\/genes15091207","article-title":"Tumor heterogeneity in gastrointestinal cancer based on multimodal data analysis","volume":"15","author":"Ai","year":"2024","journal-title":"Genes"},{"key":"B2","doi-asserted-by":"publisher","first-page":"239","DOI":"10.4253\/wjge.v10.i10.239","article-title":"Artificial intelligence in gastrointestinal endoscopy: the future is almost here","volume":"10","author":"Alagappan","year":"2018","journal-title":"World J. 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